We are building an AI assistant that saves consumers time, money, and stress on health insurance and benefits, starting first with medical bills.
Medical bills are a massive problem. They are confusing, over 40% contain errors, 17% of claims are denied by insurance, and often represent very large sums of money. As a result, 100 million Americans are saddled with medical debt, and medical bills cause nearly 70% of personal bankruptcies in the US.
Dealing with unexpectedly high medical bills is time-consuming, complex, and stressful. Stuck between their providers, payers, and bill collectors, consumers too frequently have to make numerous phone calls, wait on hold, and even send paper letters and faxes. Appealing insurance denials, resolving billing errors, negotiating bills, and filing out-of-network claims require expert knowledge that most consumers don't have.
Thanks to AI and new healthcare regulations around data access and price transparency, we can now automate this soul-crushing work and empower consumers to fight back against this broken system. Beyond medical bills, we help people through their entire healthcare journey as they pick their health insurance plans and benefits, or look for care that fits their budget.
MedBill AI is founded by 2 Oscar Health veterans, the first health insurance company built around a full stack technology platform and a relentless focus on serving its members. We joined Oscar pre-product, stayed through the IPO and helped it grow to over 1M members. We've worked across Oscar's entire stack and led many key projects, including its in-house telemedicine platform and claim system, positioning us uniquely to take on MedBill AI. We're proud of how Oscar raised the bar for what people should expect from their health insurance, and we’re excited to have an even larger impact with MedBill AI by taking the side of consumers unequivocally, regardless of their health insurance.
We’re lucky to be backed by the founders and investors at Hugging Face, Oscar Health, TrueBill, CaseText, Forerunner Ventures, Red Sea Ventures, RRE Ventures, and much more. We are well-funded for the next few years.
At a high level, our assistant analyzes medical bills, identifies potential issues such as errors or undue denials, and helps resolve them. It sends emails, faxes, and letters and acts as a voice co-pilot during phone calls with relevant stakeholders. Additionally, our assistant can accomplish various admin tasks on the web on users’ behalf.
A lot needs to happen under the hood to make all of this possible:
We must fetch, process, and analyze billing and clinical information from various sources.
We must interact with humans across multiple mediums (voice, text, documents) and platforms (web, iOS, Android, phone, faxes).
We must define and orchestrate many multi-step processes driven by LLM agents in cooperation with rich human-in-the-loop interactions.
We need to make real-time recommendations and predictions using complex decision trees maintained in partnership with our clinical and legal teams.
And more!
We’ve made a few key foundational technology choices to keep our team hyper-productive as we add all that complex business logic and push the limits of what can be done with LLMs:
A monorepo with TypeScript for everything (mobile + web, back-end, infrastructure as code, build tools) to make it easy to contribute across the stack and write type-safe and highly concurrent code.
A single shared front-end codebase for iOS, Android, and Web using React Native + Tamagui.
EdgeDB is used as our main transactional database. It includes a highly modern and productive toolset, including a type-safe ORM, builtin GraphQL server, ACLs, branching and migrations, etc.
A unified data GraphQL server that aggregates all our data sources seamlessly, making it trivial to query and update data across our stack through a single API.
All our infrastructure is managed with Docker and Pulumi and deployed on AWS to keep everything secure and auditable.
All our asynchronous and long-running jobs are orchestrated with Temporal, simplifying distributed workload execution.
And more!
Be a founding member of our growing team! Help to shape the future success and direction of the company.
Define and execute our roadmap with the CEO and the rest of the tech team as we develop our private beta for official launch later this year.
Create incredible user-facing experiences and bring features to life from beginning to end—through system design, full-stack programming, launching, and experimentation.
Have engineered software across the stack for 5 years or more.
Are excited to be part of our mission! We’re pumped about what we’re working towards—and we want you to be, too.
Are passionate about creating the best user experience possible.
Thrive in a fast-paced environment, navigating ambiguity with a high degree of autonomy.
Approach cutting-edge technical challenges with curiosity, tenacity, and creativity.
Have strong communication skills, both written and verbal.
Have 10+ years of GPT4 experience—or, failing that, a sense of humor.
Bonus: Experience working with Expo, Tamagui, or GraphQL.
P.S. These are ideal qualifications, not minimums. If you don't meet some, you should still apply!
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